Reasoning Method of Remote Sensing Imagery Based on Topological Transformation

Abstract:

Remote sensing image analysis is an important aspect of remote sensing technology and application, but until now a comprehensive mathematical model is still missing for spatial analysis and reasoning. From the mathematical essence, the processing of remote sensing image analysis is to build a transform relationship between the premise and the conclusion of reasoning based on domain knowledge, and which is used to deal with the transformation reasoning. Based on fuzzy set and topology theory, this paper discussed how to build mathematical models of target identification, information extraction, and semantic extraction of remote sensing imagery. By a series of reasoning, a reasoning model based on the topological transformation is proposed, which is used to transform remote sensing image analysis into an uncertainty reasoning of mathematical sciences.

• Periodical: Applied Mechanics and Materials (Volumes 511-512)
• Pages: 421-424
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.511-512.421
• Online since: February 2014
• Authors: Xiao Li Liu*, Guo Bin Zhu, Jing Gang Jin, Xue Li
• Keywords: Fuzzy Set Theory, Knowledge Representation, Remote Sensing Imagery, Topological Transformation, Uncertainty Reasoning

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